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Random error
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11	Estimation from Relative Measurements: Error Bounds From Electrical Analogy Prabir Barooah and #Jo˜ao P. Hespanha Dept. of Electrical and Computer Eng., Univ. of California, Santa Barbara, CAEmail:{pbarooah,hespa Add to Reading List Source URL: www.ece.ucsb.edu Language: English - Date: 2016-08-11 19:54:32 Graph theory Mathematics Discrete mathematics Graph Random walk Graph coloring Algebraic graph theory
12	Int J Geomath DOIs13137ORIGINAL PAPER A recursive linear MMSE filter for dynamic systems with unknown state vector means Add to Reading List Source URL: gnss.curtin.edu.au Language: English - Date: 2016-06-14 03:16:25 Statistics Estimation theory Statistical theory Linear filters Algebra of random variables Covariance and correlation Signal processing Minimum mean square error Kalman filter GaussMarkov theorem Covariance Multivariate random variable
13	Stats workshop I Learning objectives: explain when and why statistics are necessary identify the information gained from the mean, standard error (SE), and standard error of the mean (SEM) understand the idea of random Add to Reading List Source URL: datanuggets.org Language: English - Date: 2014-03-06 18:44:41 Measurement Probability distributions Statistical theory Statistical inference Normal distribution Standard error Standard deviation Histogram Statistics Errors and residuals Deviation Sample size determination
14	Inferences from Matched Samples in the U.S. National Elections from 2004 to 2008 Add to Reading List Source URL: www.amstat.org Language: English - Date: 2009-11-03 13:24:34 Survey methodology Sampling Gallup Survey sampling Propensity score matching Opinion poll Stratified sampling Margin of error American National Election Studies Quota sampling Standard error Simple random sample
15	On Herding and the Perceptron Cycling Theorem Andrew E. Gelfand, Yutian Chen, Max Welling Department of Computer Science University of California, Irvine {agelfand,yutianc,welling}@ics.uci.edu Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Machine learning Artificial neural networks Perceptron Conditional random field Supervised learning Pattern recognition Generalization error Structured prediction Kernel perceptron
16	Microsoft Word - 0_ECVMAS_Plan Echantillonnage_28052013.doc Add to Reading List Source URL: www.ihsi.ht Language: English - Date: 2014-02-13 13:19:31 Sampling techniques Sampling Market research Survey methodology Simple random sample Cluster sampling Sample Statistics Stratified sampling Standard error
17	Microsoft Word - Post-Silicon Debug__30__group__.doc Add to Reading List Source URL: www.deshawresearch.com Language: English - Date: 2010-09-27 16:06:45 Theoretical computer science Formal methods Integrated circuits Logic in computer science Computer memory Formal verification Waypoint Debugging Application-specific integrated circuit Dynamic random-access memory Error Model checking
18	Research Technical Note Monte Carlo Simulation using the Benson-Zangari Approach March 14, 2013 Keywords: Monte Carlo Simulation, Monte Carlo error, MC VaR stability, drifts in RM. Add to Reading List Source URL: www.msci.com Language: English - Date: 2013-03-21 20:38:59 Probability distributions Actuarial science Financial risk RiskMetrics Probability theory Standard deviation Multivariate random variable Log-normal distribution Distribution
19	1-Point-based Monocular Motion Estimation for Computationally-Limited Micro Aerial Vehicles Chiara Troiani1 , Agostino Martinelli1 , Christian Laugier1 and Davide Scaramuzza2 TABLE I: Number of iterations of RANSAC Abst Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2013-08-21 05:26:53 Statistics Random sample consensus SRI International Vision Artificial intelligence Motion estimation Structure from motion Visual odometry Reprojection error Motion capture Outlier
20	LOWER BOUNDS ON LEARNING RANDOM STRUCTURES WITH STATISTICAL QUERIES 1 Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2010-10-08 08:44:26 Computational learning theory Machine learning Theoretical computer science Probably approximately correct learning Error Tolerance

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